Honours and Minor Thesis projects

User stories are a useful medium to represent requirements of an application. They usually follow a predefined format to represent a required functionality and/feature of an application. Those are prepared before application is developed and works as a source of reference through out the development process.

For the numerous benefits online shopping provides, their popularity has been on rise. Moreover, due to the recent COVID-19 pandemic online shopping has become a regular activity in most of the households. As such e-commerce application are being developed at different scale. All those may not understand the requirement properly and sometimes may have overlooked special end user needs. This work is designed to understand the requirements of the e-commerce applications and how personal characteristics of the end users can influence the requirements.…

Theory and applications in data analytics of time series became popular in the past few years due to the availability of data in various sources. This project aims to investigate and generalise Hybrid and Neural Network methods in time series to develop forecast algorithms. The methodology will be developed as a theoretical construct together with wide variety of applications.

    DNA or RNA motif discovery is a popular biological method to identify over-represented DNA or RNA sequences in next generation sequencing experiments. These motifs represent the binding site of transcription factors or RNA-binding proteins. DNA or RNA binding sites are often variable. However, all motif discovery tools report redundant motifs that poorly represent the biological variability of the same motif, hence renders the identification of the binding protein difficult.

The project aims to estimate heart rate non-intrusively using video data of humans faces. The heart rate estimation from videos finds its usefulness in numerous applications including patient contactless heart-rate monitoring in hospitals and elderly care facilities. The main challenges are associated with the subject's motion and varying lighting conditions. Existing methods mostly devise a multi-stage strategy, where the first stage detects facial region, performs tracking followed by segmentation of skin pixels.

The built environment contains numerous accessibility barriers for people with disabilities, be it missing dropped curbs, rough surfaces, or trip hazards (amongst many other barriers). Documenting these barriers in an automatic fashion remains an important challenge. This project will explore novel approaches towards automatic accessibility documentation for one or more classes of accessibility barrier.

Over recent decades, most democratic countries have extensive rights for citizens to request and access personal and civic information. These requests have to be processed by reviewing documents and records, first to see if the document is relevant and if so, to redact any personal information. 

Develop NLP tools to track politicians’ campaign promises on traditional and social media: With applications to Australian, Indian and/or US politics.

Issues and solutions exist on different aspects of the management of real-time data, such as persistence, visualisation, and online processing. This project is a research project to identify the significant issues of real-time data management in structural health monitoring (SHM), particularly for bridges, and implement an integrated software solution for enterprise usage. This project involves time series database design, visualisation and online processing of time series, and service-oriented and web-based software development.

This project focuses on the locomotion pattern of freely moving animals. The model organism we used is C. elegans, a transparent nematode about 1 mm, which displays a sinusoidal movement on the plates.